摘要
为解决集群计算系统的失效和高能耗问题,提出了一种灵活的高可信集群计算任务调度框架。该框架基于动态电压调整、任务恢复执行和完美接纳控制机制,设计了一种可靠性感知和能量感知的实时任务全局分配算法。结合局部松驰回收机制,在维持任务可靠性目标的情况下,该算法可进一步降低系统能耗和任务拒绝率。实验表明,该算法在能量节省、可靠性和任务拒绝率方面具有优越性。
A flexible task scheduling framework was proposed to deal with failure and high energy consumption problems in high-dependable cluster computing systems.Based on dynamic voltage scaling,task execution recovery,and perfect admission control mechanisms,a reliability-aware and energy-aware global allocation algorithm was designed for real-time tasks.In conjunction with local slack reclaim mechanism,the algorithm could further reduce energy consumption and task rejection ratio while maintaining the reliability goal for each task.Simulation results demonstrated superior performances of the proposed algorithm on energy-saving,reliability improvement,and task rejection ratio.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2009年第12期2458-2466,共9页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金资助项目(60673142)
国家863计划资助项目(2006AA01Z173
2007AA01Z131)~~
关键词
集群计算
高可信
能量有效
可靠
实时调度
cluster computing
high-dependable
energy-efficient
reliability
real-time scheduling